Data Science Methods to Develop Decision Support Systems for Real-time Monitoring of COVID-19 Outbreak
Abstract
Doi: 10.28991/HEF-2022-03-02-08
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References
Dong, E., Du, H., & Gardner, L. (2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet Infectious Diseases, 20(5), 533–534. doi:10.1016/S1473-3099(20)30120-1.
World Health Organization (WHO). (2021). Coronavirus (COVID-19) Dashboard. Available online: https://covid19.who.int (accessed on March 2022).
Ministry of Health and Family Welfare (MoHFW), India. (2021, March 31). Ministry of Health & Family Welfare [Govt]. MoHFW | Home. Available online: https://www.mohfw.gov.in/ (accessed on March 2022).
World Health Organization & others. (2021). Novel coronavirus disease (COVID-19): India situation report – 67. Available online: https://cdn.who.int/media/docs/default-source/wrindia/situation-report/india-situation-report-67.pdf (accessed on April 2022).
Chatterjee, K., Chatterjee, K., Kumar, A., & Shankar, S. (2020). Healthcare impact of COVID-19 epidemic in India: A stochastic mathematical model. Medical Journal Armed Forces India, 76(2), 147–155. doi:10.1016/j.mjafi.2020.03.022.
Das, S. (2020). Prediction of COVID-19 Disease Progression in India: Under the Effect of National Lockdown. arXiv Preprint doi:10.48550/arXiv.2004.03147.
Mitra, A., Pakhare, A. P., Roy, A., & Joshi, A. (2020). Impact of COVID-19 epidemic curtailment strategies in selected Indian states: An analysis by reproduction number and doubling time with incidence modelling. PLoS ONE, 15(9 September), 239026. doi:10.1371/journal.pone.0239026.
Salvatore, M., Basu, D., Ray, D., Kleinsasser, M., Purkayastha, S., Bhattacharyya, R., & Mukherjee, B. (2020). Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: National trends masking state-level variations. BMJ Open, 10(12). doi:10.1136/bmjopen-2020-041778.
Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. The Lancet Psychiatry, 7(6), 547–560. doi:10.1016/s2215-0366(20)30168-1.
Lin, Q., Zhao, S., Gao, D., Lou, Y., Yang, S., Musa, S. S., Wang, M. H., Cai, Y., Wang, W., Yang, L., & He, D. (2020). A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action. International Journal of Infectious Diseases, 93, 211–216. doi:10.1016/j.ijid.2020.02.058.
Ohannessian, R., Duong, T. A., & Odone, A. (2020). Global telemedicine implementation and integration within health systems to fight the COVID-19 pandemic: A call to action. JMIR Public Health and Surveillance, 6(2), 18810. doi:10.2196/18810.
Wong, J. E. L., Leo, Y. S., & Tan, C. C. (2020). COVID-19 in Singapore - Current Experience: Critical Global Issues That Require Attention and Action. JAMA - Journal of the American Medical Association, 323(13), 1243–1244. doi:10.1001/jama.2020.2467.
World Health Organization. (2020). Preparedness, prevention and control of coronavirus disease (COVID-19) for refugees and migrants in non-camp settings. Interim Guidance, 17 April 2020. Available online: https://apps.who.int/iris/bitstream/handle/ 10665/331777/WHO-2019-nCoV-Refugees_Migrants-2020.1-eng.pdf?sequence=1&isAllowed=y (accessed on April 2022).
Zhang, Y., Xu, J., Li, H., & Cao, B. (2020). A Novel Coronavirus (COVID-19) Outbreak: A Call for Action. Chest, 157(4), e99–e101. doi:10.1016/j.chest.2020.02.014.
Chesbrough, H. (2020). To recover faster from Covid-19, open up: Managerial implications from an open innovation perspective. Industrial Marketing Management, 88, 410–413. doi:10.1016/j.indmarman.2020.04.010.
Chick, R. C., Clifton, G. T., Peace, K. M., Propper, B. W., Hale, D. F., Alseidi, A. A., & Vreeland, T. J. (2020). Using Technology to Maintain the Education of Residents During the COVID-19 Pandemic. Journal of Surgical Education, 77(4), 729–732. doi:10.1016/j.jsurg.2020.03.018.
Guest, J. L., del Rio, C., & Sanchez, T. (2020). The three steps needed to end the COVID-19 pandemic: Bold public health leadership, rapid innovations, and courageous political will. JMIR Public Health and Surveillance, 6(2), 19043. doi:10.2196/19043.
Thanh Le, T., Andreadakis, Z., Kumar, A., Gómez Román, R., Tollefsen, S., Saville, M., & Mayhew, S. (2020). The COVID-19 vaccine development landscape. Nature Reviews. Drug Discovery, 19(5), 305–306. doi:10.1038/d41573-020-00073-5.
World Health Organization. (2020). COVID-19: Public Health Emergency of International Concern (PHEIC). Global research and innovation forum: Towards a research roadmap.
Yamey, G., Schäferhoff, M., Hatchett, R., Pate, M., Zhao, F., & McDade, K. K. (2020). Ensuring global access to COVID-19 vaccines. The Lancet, 395(10234), 1405–1406. doi:10.1016/S0140-6736(20)30763-7.
Kamel Boulos, M. N., & Geraghty, E. M. (2020). Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: How 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. International Journal of Health Geographics, 19(1), 8. doi:10.1186/s12942-020-00202-8.
Calvo, R. A., Deterding, S., & Ryan, R. M. (2020). Health surveillance during covid-19 pandemic. BMJ, m1373, 1-2. doi:10.1136/bmj.m1373.
Carvalho, V. M., Garcia, J. R., Hansen, S., Ortiz, Á., Rodrigo, T., Rodríguez Mora, J. V., & Ruiz, P. (2021). Tracking the COVID-19 crisis with high-resolution transaction data. Royal Society Open Science, 8(8). doi:10.1098/rsos.210218.
Chen, E., Lerman, K., & Ferrara, E. (2020). Tracking Social Media Discourse about the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance, 6(2), e19273. doi:10.2196/19273.
Head, M. G. (2020). A real-time policy dashboard can aid global transparency in the response to coronavirus disease 2019. International Health, 12(5), 373–374. doi:10.1093/inthealth/ihaa039.
Kaul, S., Coleman, C., & Gotz, D. (2020). A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic. Journal of the American Medical Informatics Association, 27(12), 1943–1948. doi:10.1093/jamia/ocaa146.
Thorlund, K., Dron, L., Park, J., Hsu, G., Forrest, J. I., & Mills, E. J. (2020). A real-time dashboard of clinical trials for COVID-19. The Lancet Digital Health, 2(6), e286–e287. doi:10.1016/S2589-7500(20)30086-8.
Wimba, P. M., Bazeboso, J. A., Katchunga, P. B., Tshilolo, L., Longo-Mbenza, B., Rabilloud, M., Vanhems, P., Iwaz, J., Étard, J. F., & Écochard, R. (2020). A dashboard for monitoring preventive measures in response to COVID-19 outbreak in the Democratic Republic of Congo. Tropical Medicine and Health, 48(1), 74. doi:10.1186/s41182-020-00262-3.
Wissel, B. D., Van Camp, P. J., Kouril, M., Weis, C., Glauser, T. A., White, P. S., Kohane, I. S., & Dexheimer, J. W. (2020). An interactive online dashboard for tracking COVID-19 in U.S. counties, cities, and states in real time. Journal of the American Medical Informatics Association, 27(7), 1121–1125. doi:10.1093/jamia/ocaa071.
Government of India (2021). MyGov - A Platform for Citizen Engagement towards Good Governance in India. Available online: http://mygov.in/ (accessed on March 2022).
Harvard T.H. Chan, School of Public Health. (2020). COVID-19 Dashboard. India Research Center. Available online: https://www.hsph.harvard.edu/india-center/covid-19-dashboard/ (accessed on May 2022).
IIT Delhi. (2021). PRACRITI—Prediction and Assessment of Corona Infections and Transmission in India. Available online: Available online: http://pracriti.iitd.ac.in/ (accessed on March 2022).
COVID19India Website (2021). Coronavirus in India: Latest Map and Case Count. Available online: https://www.covid19india.org (accessed on May 2022).
Covidtracking website (2021). How Is India Doing. Available online: https://covidtracking.in (accessed on May 2022).
ETGovernment Press (2020). NASSCOM develops covid-19 dashboard for Telangana-ET Government. Available online: https://government.economictimes.indiatimes.com/news/digital-india/nasscom-develops-covid-19-dashboard-for-telangana/75670100 (accessed on April 2022).
COVID-19 Community Mobility Report (2022). Google: COVID-19 Community Mobility Report Flanders. Available online: https://www.google.com/covid19/mobility?hl=en (accessed on May 2022).
Government of India. (2021). Unique Identification Authority of India. Available online: https://uidai.gov.in/images/state-wise-aadhaar-saturation.pdf (accessed on May 2022).
Aktay, A., Bavadekar, S., Cossoul, G., Davis, J., Desfontaines, D., Fabrikant, A., ... & Wilson, R. J. (2020). Google COVID-19 community mobility reports: anonymization process description. arXiv Preprint. doi:10.48550/arXiv.2004.04145.
Wickham, H. (2021). Easily Harvest (Scrape) Web Pages: Package ‘rvest’. Available online: https://cran.r-project.org/web/ packages/rvest/rvest.pdf (accessed on April 2022).
Cauchemez, S., Boëlle, P. Y., Thomas, G., & Valleron, A. J. (2006). Estimating in real time the efficacy of measures to control emerging communicable diseases. American Journal of Epidemiology, 164(6), 591–597. doi:10.1093/aje/kwj274.
Wallinga, J., & Teunis, P. (2004). Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures. American Journal of Epidemiology, 160(6), 509–516. doi:10.1093/aje/kwh255.
DOI: 10.28991/HEF-2022-03-02-08
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